Final Project - Making Sense of Quantitative Data Phase One Research a statistic that is of interest to you and collect at least 25 pieces of data. You can collect data by interviewing people (survey) to collect information or you can obtain information online Some examples of one-variable statistics are as follows (you may not use these exact examples) Height of Hornets players Weight of Panthers players Ages of Presidents when they took office MPG of certain car models Hours of sleep a person gets a night Phase Two - Data Displays Histogram Boxplot Shape (skewed left, right, or symmetrical) Phase Three - Statistical Calculations Mean, median, mode - based on shape, explain which would be the best representation of the data Standard deviation, variance, range IQR and determination of outliers using IQR method 5-Number summary Phase Four - The Project After collecting data and running statistics. Compile all of the information into a report/presentation of some kind. The format is pretty open so feel free to be creative. In addition to everything listed above, your final product must also include a description of what you learned from the project statistics about the topic. Grading Rubric [35 points] Topic Pts Collected appropriate data type and amount, list of data provided 6 Histogram - Tilted, axes labeled, correctly formatted 3 Boxplot - includes scale and title 3 Correctly Identifies Shape of data display 1 Mean, Median, Mode & which is the best representation for this data set & why 5 Standard deviation, variance, range 3 IQR and determination of outliers using IQR method 3 5-number Summary 2 Project formatting - neat, organized, college level work demonstrated 5 Final conclusion 4